东北大学学报(自然科学版)
東北大學學報(自然科學版)
동북대학학보(자연과학판)
JOURNAL OF NORTHEASTERN UNIVERSITY(NATURAL SCIENCE)
2015年
9期
1246-1250
,共5页
廖祥云%袁志勇%陈二虎%郑奇
廖祥雲%袁誌勇%陳二虎%鄭奇
료상운%원지용%진이호%정기
软组织参数测量%压力采集%参数参照模型%有限元%BP 神经网络
軟組織參數測量%壓力採集%參數參照模型%有限元%BP 神經網絡
연조직삼수측량%압력채집%삼수삼조모형%유한원%BP 신경망락
soft tissue parameter measurement%pressure acquisition%parameter reference model%finite element%BP neural network
提出基于压力采集和 FEM 模型的软组织参数测量方法,搭建基于光学运动跟踪系统和压力采集模块的软组织参数测量平台,对软组织形变过程三维重建,通过带压力传感器的 ARM 采集板获取压力值,采用 BP 神经网络对传感器进行精度校正.基于软组织形变集合构建四面体有限元模型计算软组织的初始参数弹性模量与泊松比,并提出一种参数参照模型对初始参数进行修正,通过实验验证参数的准确性.实验结果表明,用所述方法求得的软组织参数计算的软组织形变与真实测量所得软组织形变的平均相对误差为1.03%~1.60%,符合实际工程应用对软组织形变的精度要求.
提齣基于壓力採集和 FEM 模型的軟組織參數測量方法,搭建基于光學運動跟蹤繫統和壓力採集模塊的軟組織參數測量平檯,對軟組織形變過程三維重建,通過帶壓力傳感器的 ARM 採集闆穫取壓力值,採用 BP 神經網絡對傳感器進行精度校正.基于軟組織形變集閤構建四麵體有限元模型計算軟組織的初始參數彈性模量與泊鬆比,併提齣一種參數參照模型對初始參數進行脩正,通過實驗驗證參數的準確性.實驗結果錶明,用所述方法求得的軟組織參數計算的軟組織形變與真實測量所得軟組織形變的平均相對誤差為1.03%~1.60%,符閤實際工程應用對軟組織形變的精度要求.
제출기우압력채집화 FEM 모형적연조직삼수측량방법,탑건기우광학운동근종계통화압력채집모괴적연조직삼수측량평태,대연조직형변과정삼유중건,통과대압력전감기적 ARM 채집판획취압력치,채용 BP 신경망락대전감기진행정도교정.기우연조직형변집합구건사면체유한원모형계산연조직적초시삼수탄성모량여박송비,병제출일충삼수삼조모형대초시삼수진행수정,통과실험험증삼수적준학성.실험결과표명,용소술방법구득적연조직삼수계산적연조직형변여진실측량소득연조직형변적평균상대오차위1.03%~1.60%,부합실제공정응용대연조직형변적정도요구.
A method of soft tissue parameter measurement was proposed based on pressure acquisition and FEM model,which included a soft tissue parameter measurement platform based on optical motion tracking system and pressure acquisition module.The soft tissue deformation was reconstructed in three dimensions,and the pressures on the soft tissue were obtained by an ARM acquisition board with a pressure sensor whose precision was calibrated with the BP neural network.Then a tetrahedral finite element model was built to calculate the initial parameters (Young's modulus and Poisson rates)of the soft tissue and a parameter reference model was proposed to obtain the modified parameters whose accuracy was verified experimentally.The experimental results indicated the average relative deviation between calculated deformation and measured deformation is 1.03% ~1.60%,which satisfies the accuracy requirements of soft tissue deformation in practical engineering applications.